Bioinformatics Scientist, Nanopore Signal Analytics

Flagship Pioneering, Inc.; Cambridge (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

Tilde Bio, Inc. is seeking a Bioinformatics Scientist to join our Computational Team.

You will help build analytical foundations linking nanopore measurements to biological understanding, working with scientists and engineers across disciplines to develop methods transforming complex data into actionable insights. You will create and implement standard pipelines, while also developing novel approaches to processing electronic data into interpretable sequencing outputs.

Qualifications

• Master’s degree with 3+ years of relevant industry experience.
• Or PhD in Computational Biology, Biophysics, Bioengineering, Physics, Applied Mathematics, Computer Science, or Electrical.

Responsibilities

• Analyze nanopore and electrophysiology datasets to identify signal features.
• Develop computational workflows for event detection, classification, and fingerprinting.
• Build quantitative models connecting measurements to molecular identity, structure, and function.
• Collaborate with experimental scientists to interpret results and guide future experiments.
• Work with protein science, signal processing, and ML teams to improve platform performance.
• Contribute to benchmarking, validation, and uncertainty quantification as the platform scales.

Skills

Bioinformatics

Biophysics

Bioengineering

Physics

Applied Mathematics

Computer Science

Electrical

Machine Learning

Education

Master’s degree with 3+ years experience

PhD in related field

Job description

Tilde Bio, Inc. is seeking a Bioinformatics Scientist to join our Computational Team.

You will help build analytical foundations linking nanopore measurements to biological understanding, working with scientists and engineers across disciplines to develop methods transforming complex data into actionable insights. You will create and implement standard pipelines, while also developing novel approaches to processing electronic data into interpretable sequencing outputs.